Performance of Noise Map Service Working in Cloud Computing Environment

Marciniuk, Karolina; Szczodrak, Maciej; Kostek, Bożena

doi:10.1515/aoa-2016-0029

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…This observation is even more visible in the case of the sharpness parameter. The sharpness values are higher in the range of 6-12 Barks for location (A), contrarily to higher frequencies in the Bark scale (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24) where the sharpness values are larger for location (B). This is generally consistent with the sound tone for each location.…”

Section: Relative Comparative Analysis For Frequency Domainmentioning

confidence: 96%

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Metrology and Measurement Systems

Paszkowski

Kotus

Poremski³

et al. 2018

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The paper shows a study on the relationship between noise measures and sound quality (SQ) features that are related to annoyance caused by the traffic noise. First, a methodology to perform analyses related to the traffic noise annoyance is described including references to parameters of the assessment of road noise sources. Next, the measurement setup, location and results are presented along with the derived sound quality features. Then, statistical analyses are performed to compare the measurement results and sound quality features. The included conclusions are focused on showing that the obtained loudness values, regardless of the used system, are similar in a statistical sense. Contrarily, sharpness, roughness and fluctuation strength values differ for the tools employed.

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Section: Relative Comparative Analysis For Frequency Domainmentioning

confidence: 96%

“…In addition, some of such data are usually evaluated subjectively [9]. Moreover, the use of information technology (IT) in the noise pollution assessment is visible [13,14]. This is especially important with regard to the impact of temporal aspects of environmental noise of cities.…”

Section: Introductionmentioning

confidence: 99%

Metrology and Measurement Systems

Paszkowski

Kotus

Poremski³

et al. 2018

Self Cite

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“…al. 36 As the input data, this method applies the emission values from "Guide du bruit des transports terrestres, fascicule prévision des niveaux sonores, CETUR 1980". The emissions described in the method allow for different states of traffic, both with smooth traffic and with accelerations or slowdowns (see Fig.…”

Section: Modelling Of Environmental Noisementioning

confidence: 99%

The Impact of Noise in the Environment on the Acoustic Assessment of Green Houses

Nowoświat¹,

Ślusarek²,

Żuchowski³

et al. 2018

The International Journal of Acoustics and Vibration

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In various green building assessment systems involving sustainable building projects, certain specific acoustic aspects are important. In Europe the most common system addressing the problem is the British system Building Research Establishment’s Environmental Assessment Method (BREEAM), American system Leadership in Energy and Environmental Design (LEED), or German system Deutsche Gesellschaft fur Nachhaltiges Bauen (DGNB). The green building certificate comprises the assessment of noise impact generated by technical equipment of buildings on their external surroundings. The measures undertaken to counteract noise-generated pollution involve green certification, but it is also a global challenge to find appropriate technological solutions contributing to the protection of areas inhabited by people. We determined the impact of the surroundings of the assessed building in specific background noise conditions. We described the problem of appropriate selection of measurement points and the impact of noise generated by building installations on the acoustic assessment of green buildings in BREEAM system. A theoretical model of the simulated house was developed close to a road, with changes to traffic parameters including heavy vehicles and the summary acoustic power of the equipment mounted on the roof of the investigated house. We analysed the impact involving the location of the investigated building on the possibility to obtain ‘credits’ in view of environmental acoustics. Instead of a single case study, we used simulation to illustrate different situations such as the changing acoustic background represented by the existing traffic system or changing noise of the sources represented by noise generating units.

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“…A study in 2009 considered computing a noise map on a supercomputer; in this effort, software called Noise Propagation Model is used to obtain the noise map in a supercomputer [26]; the parallel algorithm assigns tasks at one time rather than using dynamic assignment, and the noise map is two-dimensional. In addition, a traffic noise map was computed in the cloud computing environment [27]; however, in that study, the noise map produced was an existing service in the cloud computing system, and the computational framework was not explained.…”

Section: Introductionmentioning

confidence: 99%

Urban Traffic Noise Maps under 3D Complex Building Environments on a Supercomputer

Cai

Yao

Wang

2018

Journal of Advanced Transportation

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The complexity of the 3D buildings and road networks gives the simulation of urban noise difficulty and significance. To solve the problem of computing complexity, a systematic methodology for computing urban traffic noise maps under 3D complex building environments is presented on a supercomputer. A parallel algorithm focused on controlling the compute nodes of the supercomputer is designed. Moreover, a rendering method is provided to visualize the noise map. In addition, a strategy for obtaining a real-time dynamic noise map is elaborated. Two efficiency experiments are implemented. One experiment involves comparing the expansibility of the parallel algorithm with various numbers of compute nodes and various computing scales to determine the expansibility. With an increase in the number of compute nodes, the computing time increases linearly, and an increased computing scale leads to computing efficiency increases. The other experiment is a comparison of the computing speed between a supercomputer and a normal computer; the computing node of Tianhe-2 is found to be six times faster than that of a normal computer. Finally, the traffic noise suppression effect of buildings is analyzed. It is found that the building groups have obvious shielding effect on traffic noise.

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Performance of Noise Map Service Working in Cloud Computing Environment

Cited by 6 publications

References 7 publications

Metrology and Measurement Systems

Metrology and Measurement Systems

The Impact of Noise in the Environment on the Acoustic Assessment of Green Houses

Urban Traffic Noise Maps under 3D Complex Building Environments on a Supercomputer

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